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The Incentives Lab
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Incentives OS · Layer 2

Behavioral Economics

200+ cognitive biases, heuristics, and Prospect Theory — how humans actually decide.

Which biases are most likely operating right now?

Canonical thinkers

  • Daniel Kahneman
  • Amos Tversky
  • Richard Thaler
  • Cass Sunstein
  • Dan Ariely
  • Gerd Gigerenzer

Seed concepts

Underlined seeds link to their full glossary entry. Plain seeds are pending a definition page.

Typed connections

Full graph →

How this layer reinforces, counteracts, or depends on the rest of the system.

  • Depends on·Layer
    This layer depends on Neuroscience

    Biases like loss aversion bottom out in dopaminergic and amygdala circuitry — neuroscience supplies the mechanism BE describes.

  • Explains·Layer
    Neuroscience explains this layer

    Reward prediction error and threat response explain why heuristics fire the way Kahneman & Tversky catalogued them.

  • Instance of·Layer
    Persuasion & Behavior Design is an instance of this layer

    Cialdini's six principles are applied biases — persuasion is BE deployed as influence.

  • Counteracts·Layer
    Economics & Mechanism Design counteracts this layer

    Classical economics assumes rationality; BE was built precisely to falsify that assumption.

  • Reinforces·Layer
    Temporal Models reinforces this layer

    Hyperbolic discounting is the temporal frame of present bias; both predict the same myopic choice pattern.

  • Explains·HBE
    This layer explains Loss Aversion

    Loss aversion is the canonical Prospect Theory finding; BE is the layer that names and measures it.

Elements in this layer

260 HBEs
INC'Spend to Save' Promotions

Discount framing nudges people to buy things they wouldn't otherwise want.

COGAccountability

Clear ownership of outcomes, not just tasks.

COGAction Bias

Doing something feels safer than doing nothing — even when nothing wins.

COGActor-Observer Bias

We attribute our own actions to situations but others' actions to their character.

COGAd Hominem

Attacking the person rather than the argument.

COGAdaptive Bias

The brain evolved to reason adaptively, not always truthfully, to reduce the cost of errors.

COGAdditive Bias

We solve problems by adding, even when subtracting would be better.

COGAffect Heuristic

Feelings act as shortcuts for facts.

COGAffinity / Liking Bias

We favor people who are similar to us or who like us.

COGAffirming the Consequent

If A then B; B happened; therefore A.

ENVAffordances

What an environment offers an actor for action — handles to grip, surfaces to sit on, paths to follow.

COGAllegiance Bias

Researchers favor conclusions aligned with their school, team, or sponsor.

COGAmbiguity Aversion

We prefer known risks to unknown ones, even when the unknown is better.

COGAnchoring

The first number on the table silently sets the range for every number after it.

COGAnchoring (NLP)

Pairing a sensory cue with a desired internal state until the cue reliably evokes the state.

COGAnchoring Bias

Over-reliance on the first number that hits the table.

COGAnecdotal Evidence

A single story used as proof of a general claim.

COGAnecdotal Fallacy

Using personal stories or isolated examples instead of evidence.

COGApophenia

Perceiving meaningful connections in unrelated things.

COGAppeal to Authority

It's true because authority says so.

COGAppeal to Common Sense

Common sense says so, therefore it's true.

COGAppeal to Consequences

Believing something is true because of the consequences of its truth.

COGAppeal to Emotion

Substituting feeling for argument.

COGAppeal to Fear

Using fear instead of evidence.

COGAppeal to Ignorance

Claiming something is true because it hasn't been proven false (or vice versa).

COGAppeal to Nature

If it's 'natural,' it's good.

COGAppeal to Novelty

It's better because it's newer.

COGAppeal to Pity

Asking for a conclusion based on sympathy rather than logic.

COGAppeal to Spite

Rejecting an argument because of dislike for the source or beneficiary.

COGAppeal to Tradition

It's right because it's how we've always done it.

COGArgument from Fallacy

Concluding that a claim is false because the argument for it is flawed.

COGArgument from Final Consequences

Reasoning backward from outcomes to motives.

COGArgument from Incredulity

I can't believe it; therefore it isn't true.

COGArgument from Personal Experience

n=1 generalized to n=everyone.

COGArgument from Repetition (Argumentum ad Nauseam)

Saying it enough times until it sounds true.

COGAssociation Fallacy

Assuming qualities of one thing transfer to another because they are associated.

COGAttentional Bias

Our perception is shaped by what we selectively pay attention to.

COGAttribution Bias

Systematic errors in explaining the causes of behavior — yours or others'.

SOCAuthority Bias

We overweight whoever has the bigger title in the room.

COGAutomation Bias

Favoring suggestions from automated systems over conflicting human judgment.

COGAvailability Bias

Relying on examples that come to mind easily, not on actual frequency.

IDNAvailability Cascade

A story repeats until it becomes obviously true.

COGAvailability Heuristic

We judge frequency by how easily examples come to mind.

COGAwe

Vastness that exceeds existing schemas dissolves the self briefly.

IDNBackfire Effect

Contradictory evidence sometimes deepens the original belief.

SOCBandwagon Effect

Adopting beliefs because the room already did.

COGBandwagon Fallacy

It's true because many believe it.

COGBase Rate Fallacy

Ignoring general statistics in favor of specific, vivid information.

COGBase Rate Neglect

We ignore underlying probabilities in favor of vivid specifics.

COGBegging the Question

Assuming the conclusion in the premise.

IDNBelief Bias

Evaluating an argument's logic based on whether you agree with the conclusion.

IDNBelief Perseverance

Beliefs survive the evidence that should have killed them.

IDNBias Blind Spot

We see bias in others more easily than in ourselves.

INCBias in AI Systems

Systematic skew in model behavior across groups.

SOCBikeshedding (Parkinson's Law of Triviality)

Spending disproportionate energy on trivial decisions.

COGBurden of Proof Shift

Asking the other side to disprove an unsupported claim.

SOCBystander Effect

Diffused responsibility means nothing happens.

COGCheerleader Bias (Group Attractiveness)

Faces and brands look more appealing in a group than individually.

COGCheerleader Effect

People look better in groups than as individuals.

COGCherry-Picked Citations

Quoting only the studies that support the position.

Showing the first 60 of 260. Full graph view coming in Phase 2.